Machine Learning A-Z™: AI, Python

Overview

Ready to dive into the world of Machine Learning? This course, designed by a Data Scientist and a Machine Learning expert, makes it easy for you to learn complex theory, algorithms, and coding libraries. Trusted by over 900,000 students worldwide, the course takes you step-by-step through various aspects of Machine Learning, ensuring you develop new skills and deepen your understanding of this sub-field of Data Science.

The course is structured into ten parts, covering topics like Data Preprocessing, Regression, Classification, Clustering, Association Rule Learning, Reinforcement Learning, Natural Language Processing, Deep Learning, Dimensionality Reduction, and Model Selection & Boosting. You can complete the course by working through either the Python or R tutorials, or both—choose the programming language that best fits your career needs. Practical exercises based on real-life case studies will give you hands-on experience in building your own models. Plus, the course includes downloadable Python and R code templates to use in your projects. So, whether you’re looking to acquire new skills or enhance your current ones, this course offers the ultimate learning experience.

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Skills you’ll learn

1. Master various regression techniques, including linear, multiple linear, and polynomial regression.
2. Gain proficiency in classification methods such as logistic regression, K-NN, SVM, and decision tree classification.
3. Acquire skills in clustering algorithms like K-Means and hierarchical clustering.
4. Learn association rule learning techniques, such as Apriori and Eclat.
5. Understand reinforcement learning concepts – Upper Confidence Bound and Thompson Sampling.
6. Develop natural language processing skills using the bag-of-words model and NLP algorithms.
7. Dive into deep learning and become familiar with artificial neural networks and convolutional neural networks.
8. Master dimensionality reduction methods, including PCA, LDA, and Kernel PCA, and learn model selection and boosting techniques.

Summary

Delve into an outstanding Machine Learning course, brought to you by renowned instructors Kirill Eremenko, Hadelin de Ponteves, and the collaborative efforts of the SuperDataScience and Ligency Teams. With an extensive offering of 467 engaging lessons, this program has already attracted an impressive 946,550 students, who have shared their overwhelmingly positive experiences with an average rating of 4.6 out of 5. Embrace the future of AI with Python, R, and the special ChatGPT Bonus included in the 2023 edition!